Data Scientist

You will be part of a very dynamic and fast-growing Analytics team at Experian Spain and you will develop analytical solutions to the benefit of our clients and their customers. You will collect and analyze large datasets to uncover insights and create solutions that support organizational goals in the field of credit life cycle risk management fraud modelling or marketing. Technical analytical and communication skills are needed to interpret data and influence decision-making.

Main responsibilities:

Data Processing: Implementing processes to clean transform and organize raw data for analysis

Optimization: Enhancing data delivery and automating manual processes to improve efficiency

Data Analysis: Analyzing large volumes of structured and unstructured data to identify trends and patterns

Data Visualization: Creating visual reports to clarify business pain points.

Big data platforms: Using data/analytical platforms like Databricks Cloudera ...

Statistical Techniques: Using statistical techniques to validate findings and ensure accuracy

Machine Learning: Developing machine learning models and predictive algorithms to solve business problems

Programming Skills: Applying programming languages and domain-specific tools for analysis

Communication: Communicate with client and/or other departments/divisions within Experian to help ensure accurate and timely implementation of project work

Solving problems: Identify potential problems in the end to end process and take ownership for the resolution

Qualifications :

 23 years of experience in statistical or analytical project work and/or experience in the financial services telecommunications retail technology or consulting sectors.

Degree or equivalent in a related field such as computer science data science statistics mathematics or information technology physics.

Highly PC literate with thorough knowledge of statistical:

 Strong proficiency in Python for data analysis advanced analytics and automation: Python with Pandas Numpy and Machine Learning Packages and IT packages. PySpark TensorFlow or PyTorch is an a plus

 Knowledge of R SQL and SQL Server is highly valued as an additional asset

Experience with cloud-based data platforms (e.g. Databricks Cloudera and Snowflake)

knowledge of Power BI for creating interactive dashboards

Understanding of statistical techniques which may be used to address client business issues

An innovative and inquisitive mind focused on addressing and solving data and analysis problems

Fluency in written and spoken English

Good to have

Knowledge or hands-on experience with Generative AI concepts including LLMs RAG prompt engineering and information retrieval.

Benefits/Perks:

• Great compensation package and bonus plan
• Core benefits including Private Health Care and Experian wellness program
• Flexible schedule hybrid model of teleworking
• Flexible time off including volunteer time off personal leaves and paid holidays

Additional Information :

Proud to be a Worlds Best Workplace 2025

Our uniqueness is that we celebrate yours. Experians culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI work/life balance development authenticity collaboration wellness reward & recognition volunteering... the list goes on. Experians people first approach is award-winning; Worlds Best Workplaces 2024 (Fortune Top 25) Great Place To Work in 24 countries and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experians DNA and practices and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work irrespective of their gender ethnicity religion colour sexuality physical ability or age. If you have a disability or special need that requires accommodation please let us know at the earliest opportunity.

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Remote Work :

No

Employment Type :

Full-time